package com.atguigu.watermark.join;

import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.api.common.functions.JoinFunction;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.co.ProcessJoinFunction;
import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.util.Collector;

public class IntervalJoinDemo {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);

        SingleOutputStreamOperator<Tuple2<String, Integer>> stream1 = env.fromElements(
                Tuple2.of("a", 1),
                Tuple2.of("a", 2),
                Tuple2.of("b", 1),
                Tuple2.of("c", 3)
        ).assignTimestampsAndWatermarks(
                WatermarkStrategy
                        .<Tuple2<String, Integer>>forMonotonousTimestamps()
                        .withTimestampAssigner((t, l) -> t.f1 * 1000L)
        );

        SingleOutputStreamOperator<Tuple3<String, Integer, Integer>> stream2 = env.fromElements(
                Tuple3.of("a", 1, 1),
                Tuple3.of("a", 2, 2),
                Tuple3.of("b", 3, 3),
                Tuple3.of("b", 10, 3),
                Tuple3.of("c", 8, 4)
        ).assignTimestampsAndWatermarks(
                WatermarkStrategy
                        .<Tuple3<String, Integer, Integer>>forMonotonousTimestamps()
                        .withTimestampAssigner((t, l) -> t.f1 * 1000L)
        );

        SingleOutputStreamOperator<String> process = stream1.keyBy(i -> i.f0)
                .intervalJoin(stream2.keyBy(i -> i.f0))
                .between(Time.seconds(-2), Time.seconds(2))
                .process(new ProcessJoinFunction<Tuple2<String, Integer>, Tuple3<String, Integer, Integer>, String>() {
                    @Override
                    public void processElement(Tuple2<String, Integer> left, Tuple3<String, Integer, Integer> right, ProcessJoinFunction<Tuple2<String, Integer>, Tuple3<String, Integer, Integer>, String>.Context ctx, Collector<String> out) throws Exception {
                        out.collect(left + "=====" + right);
                    }
                });

        process.print();

        env.execute();
    }
}
